OPTIMIZED-BASED STABILIZATION OF CONSTRAINED NONLINEAR SYSTEMS: A RECEDING HORIZON APPROACH

被引：15

作者：

He, De-feng ^{[1
]}

Yu, Li ^{[1
]}

Song, Xiu-lan ^{[1
]}

机构：

[1] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Zhejiang, Peoples R China

来源：

ASIAN JOURNAL OF CONTROL | 2014年 / 16卷 / 06期

基金：

中国博士后科学基金;

关键词：

Input-affine nonlinear systems; weak control Lyapunov functions; receding horizon control; stabilization; inverse optimality; MODEL-PREDICTIVE CONTROL; STABILITY; MPC;

D O I：

10.1002/asjc.865

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The problem of stabilizing constrained nonlinear systems while optimizing performance is investigated in this paper. The tool of weak control Lyapunov functions (WCLFs) is introduced to construct a tuning Sontag's controller where some adjustable parameters are optimized with respect to given performances in a receding horizon fashion. Two algorithms are presented and the corresponding closed-loop systems with input constraints are proven to be stable in some regions by using the LaSalle's theorem and the properties of WCLFs. Moreover, the inverse optimality result of the controller is achieved. Finally, two open-loop unstable examples are used to illustrate the performance and effectiveness of the results obtained here.

引用

页码：1693 / 1701

页数：9

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